Zheng Yuan

64 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (13) 🏠 Conference Loyalist (23) 🤝 Dynamic Duo (11) 👥 Mega-Team (23) 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (3) ❓ The Questioner (2) 🔥 Unstoppable (6) 🗃️ Keyword Collector (232) 💎 Century Club (62) ⚡ Prolific Year (17)

Conferences

ACL (23) NAACL (7) EMNLP (7) COLING (5) EACL (4) CONLL (3) SEMEVAL (2) IJCNLP (2) ICLR (2) AAAI (2) ICCV (1) ECCV (1) CVPR (1) INTERSPEECH (1) ACML (1) NIPS (1) WACV (1)

Top co-authors

Hongyi Yuan (11) Chuanqi Tan (10) David Strohmaier (8) Keming Lu (7) Fei Huang (7) Songfang Huang (6) Christopher Bryant (6) Paula Buttery (5) Helen Yannakoudakis (5) Chang Zhou (5)

Research topics

Education (2) Natural Language Processing (1)

Keywords

large language model (14) grammatical error correction (9) transfer learning (6) named entity recognition (5) sequence labeling (5) text generation (5) multi-task learning (5) representation learning (5) entity linking (4) data augmentation (4) language model (4) masked language model (3) cross-lingual transfer (3) neural network (3) biomedical domain (3) error detection (3) word-in-context disambiguation (3) domain adaptation (2) dialogue generation (2) information extraction (2)

Papers

You Don’t Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures AAAI 2026

KidsArtBench: Multi-Dimensional Children’s Art Evaluation with Attribute-Aware MLLMs EACL 2026

SegMo: Segment-aligned Text to 3D Human Motion Generation WACV 2026

DLU: Dictionary Look-Up Data and Prediction CONLL 2025

Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases ACL 2025

Rubrik’s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset ACL 2025

Evaluating LLMs’ Assessment of Mixed-Context Hallucination Through the Lens of Summarization ACL 2025

DLU: Dictionary Look-Up Data and Prediction ACL 2025

Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs ICLR 2025

Teacher Demonstrations in a BabyLM’s Zone of Proximal Development for Contingent Multi-Turn Interaction EMNLP 2025

Speculative Contrastive Decoding ACL 2024

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM ACL 2024

Prompting open-source and commercial language models for grammatical error correction of English learner text ACL 2024

PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning ACML 2024

An LLM-Enhanced Adversarial Editing System for Lexical Simplification COLING 2024

Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context COLING 2024

ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation COLING 2024

Grammatical Error Correction for Code-Switched Sentences by Learners of English COLING 2024

MLDSP-MA: Multidimensional Attention for Multi-Round Long Dialogue Sentiment Prediction COLING 2024

Reducing Redundancy in Japanese-to-English Translation: A Multi-Pipeline Approach for Translating Repeated Elements in Japanese EMNLP 2024

Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness CVPR 2024

LLM-based Code-Switched Text Generation for Grammatical Error Correction EMNLP 2024

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models NAACL 2024

Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation NAACL 2024

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL 2024

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning ACL 2024

RRHF: Rank Responses to Align Language Models with Human Feedback NIPS 2023

A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games AAAI 2023

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation ACL 2023

How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics ACL 2023

The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues ACL 2023

The ADAIO System at the BEA-2023 Shared Task: Shared Task Generating AI Teacher Responses in Educational Dialogues ACL 2023

Exploring Partial Knowledge Base Inference in Biomedical Entity Linking ACL 2023

Prompt Discriminative Language Models for Domain Adaptation ACL 2023

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction EACL 2023

Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks EMNLP 2023

The ART of Conversation: Measuring Phonetic Convergence and Deliberate Imitation in L2-Speech with a Siamese RNN INTERSPEECH 2023

Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning NAACL 2022

Adaptive Image Transformations for Transfer-Based Adversarial Attack ECCV 2022

BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model ACL 2022

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations ACL 2022

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition ACL 2022

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark ACL 2022

Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding ACL 2022

Meta Gradient Adversarial Attack ICCV 2021

Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction SEMEVAL 2021

Improving Biomedical Pretrained Language Models with Knowledge NAACL 2021

Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction IJCNLP 2021

Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems EMNLP 2021

Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction ACL 2021

Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation IJCNLP 2021

Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation ACL 2021

Document-level grammatical error correction EACL 2021

Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation SEMEVAL 2021

Neural and FST-based approaches to grammatical error correction ACL 2019

Neural sequence modelling for learner error prediction NAACL 2018

Construction of the Literature Graph in Semantic Scholar NAACL 2018

Neural Sequence-Labelling Models for Grammatical Error Correction EMNLP 2017

Grammatical error correction using neural machine translation NAACL 2016

Grammatical error correction using hybrid systems and type filtering CONLL 2014

Generating artificial errors for grammatical error correction EACL 2014

Constrained Grammatical Error Correction using Statistical Machine Translation CONLL 2013